Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Academic calendar

The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
Primo semestre (lauree) Sep 25, 2023 Jan 19, 2024
Periodo generico Oct 1, 2023 May 31, 2024
Secondo semestre (lauree) Feb 26, 2024 May 31, 2024
Exam sessions
Session From To
Sessione invernale (lauree) Jan 22, 2024 Feb 23, 2024
Sessione estiva (lauree) Jun 3, 2024 Jul 12, 2024
Sessione autunnale (lauree) Aug 26, 2024 Sep 20, 2024
Degree sessions
Session From To
Sessione autunnale a.a. 2022/2023 Dec 5, 2023 Dec 7, 2023
Sessione invernale a.a. 2022/2023 Apr 3, 2024 Apr 5, 2024
Sessione estiva a.a. 2023/2024 Sep 4, 2024 Sep 6, 2024

Exam calendar

Exam dates and rounds are managed by the relevant Economics Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.

Exam calendar

Should you have any doubts or questions, please check the Enrollment FAQs

Academic staff

B C D F G I L M P Q R S T Z

Bertoli Paola

symbol email paola.bertoli@univr.it symbol phone-number 045 8028 508

Brunetti Federico

symbol email federico.brunetti@univr.it symbol phone-number 045 802 8494

Cantele Silvia

symbol email silvia.cantele@univr.it symbol phone-number 045 802 8220 (VR) - 0444 393943 (VI)

Carlotto Ilaria

symbol email ilaria.carlotto@univr.it symbol phone-number 045 802 8264

Cassia Fabio

symbol email fabio.cassia@univr.it symbol phone-number 0458028689

Danieli Diletta

symbol email diletta.danieli@univr.it symbol phone-number 045 842 5335

De Crescenzo Veronica

symbol email veronica.decrescenzo@univr.it symbol phone-number 045 802 8163

Demo Edoardo

symbol email edoardo.demo@univr.it symbol phone-number 045 802 8782 (VR) 0444.393930 (VI)

Fiorentini Riccardo

symbol email riccardo.fiorentini@univr.it symbol phone-number 0444 393934 (VI) - 045 802 8335(VR)

Florio Cristina

symbol email cristina.florio@univr.it symbol phone-number 045 802 8296

Fratea Caterina

symbol email caterina.fratea@univr.it symbol phone-number 045 842 5358

Frattarolo Lorenzo

symbol email lorenzo.frattarolo@univr.it symbol phone-number 045 8028239

Giacomello Bruno

symbol email bruno.giacomello@univr.it symbol phone-number 0444 393933 (VI)

Innocenti Federico

symbol email federico.innocenti@univr.it

Lubian Diego

symbol email diego.lubian@univr.it symbol phone-number 045 802 8419

Matteazzi Eleonora

symbol email eleonora.matteazzi@univr.it symbol phone-number 045 8028741

Melchiori Massimo

symbol email massimo.melchiori@univr.it

Minozzo Marco

symbol email marco.minozzo@univr.it symbol phone-number 045 802 8234

Mion Giorgio

symbol email giorgio.mion@univr.it symbol phone-number 045.802 8172

Peretti Alberto

symbol email alberto.peretti@univr.it symbol phone-number 0444 393936 (VI) 045 802 8238 (VR)

Pertile Paolo

symbol email paolo.pertile@univr.it symbol phone-number 045 802 8438

Pilati Andrea

symbol email andrea.pilati@univr.it symbol phone-number 045 802 8444 (VR) - 0444 393938 (VI)

Quercia Simone

symbol email simone.quercia@univr.it symbol phone-number 045 802 8237

Ricciuti Roberto

symbol email roberto.ricciuti@univr.it symbol phone-number 0458028417

Roffia Paolo

symbol email paolo.roffia@univr.it symbol phone-number 045 802 8012

Rossignoli Francesca

symbol email francesca.rossignoli@univr.it symbol phone-number 0444 393941 (Ufficio Vicenza) 0458028261 (Ufficio Verona)

Scola Sara

symbol email sara.scola@univr.it symbol phone-number (+39) 045 8425322

Signori Paola

symbol email paola.signori@univr.it symbol phone-number 0458028492

Stacchezzini Riccardo

symbol email riccardo.stacchezzini@univr.it symbol phone-number 0458028186

Tezza Massimo

symbol email massimo.tezza@univr.it

Zago Angelo

symbol email angelo.zago@univr.it symbol phone-number 045 802 8414

Study Plan

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

1° Year

ModulesCreditsTAFSSD
9
A
SECS-P/01
9
A
SECS-S/06
9
C
SECS-P/12
English B1
3
E
-

2° Year  activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
9
B
SECS-P/01

3° Year  It will be activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
Stage
6
F
-
Final exam
3
E
-
ModulesCreditsTAFSSD
9
A
SECS-P/01
9
A
SECS-S/06
9
C
SECS-P/12
English B1
3
E
-
It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
Stage
6
F
-
Final exam
3
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S008933

Credits

9

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Period

Primo semestre L dal Sep 23, 2024 al Jan 10, 2025.

Courses Single

Authorized

Learning objectives

This module aims at providing students with the main techniques of descriptive statistics, probability theory and statistical inference. In general, these techniques offer a solid ground to perform quantitative analysis of those collective phenomena that are of main interest in business and social sciences. More specifically, methodologies presented in this module are required to describe, interpret and manipulate official data, as well as to carry out an independent statistical analysis in socio-economic contexts. Also, they form the basis of decision analysis in business realities that are becoming increasingly more international. Also, this module aims at offering students the instruments to critically evaluate the proposed techiques.

Prerequisites and basic notions

Basic notions of mathematics (including limits, derivatives, integrals).

Program

1) Descriptive statistics
• Introductory concepts, population and sample, qualitative and quantitative characters
• Types of statistical data, statistical distributions (simple, double, unitary, frequency), graphical representations, histogram
• Cumulative frequencies, step or continuous distribution function
• Location indexes: arithmetic mean, harmonic mean, geometric mean, median, quartiles, deciles, percentiles and quantiles, mode
• Variability indexes: range, interquartile range, simple mean deviations, standard deviation and variance; variance of a linear transformation, standardization; relative indexes of variability: the coefficient of variation
• Indexes of asymmetry and kurtosis
• Double, unitary and frequency distributions; arithmetic mean of the sum of several variables and of the product of two variables; covariance and variance of the sum of several variables; conditional distributions; independence and chi-square dependence index
• Statistical interpolation: least squares method and least squares line, linear correlation coefficient and coefficient of determination R^2; total, explained and residual deviance
2) Probability
• Random experiments, sample space, tree diagrams, random events and operations between events, elements of combinatorial calculus
• Algebras and sigma-algebras, probability spaces, axiomatic definition of probability and its interpretations
• Conditional probability, product law, stochastic independence between events, total probability formula and Bayes' theorem
• Discrete and continuous random variables, distribution function, transformations of random variables, expected value and variance
• Notable discrete distributions: uniform, Bernoulli, binomial
• Notable continuous distributions: uniform and normal
• Discrete double random variables: joint probability distribution, marginal and conditional probability distributions, independence between random variables, covariance, Bravais correlation coefficient
• Linear combinations of random variables, sample mean of independent random variables, sum of independent normal random variables
• (Weak) law of large numbers, Bernoulli's law of large numbers for relative frequencies, central limit theorem
3) Inferential statistics
• Probabilistic samples, sample mean, sample relative frequency, sample variance, chi-squared sample distributions, Student's t
• Point estimate, correctness, efficiency and consistency of the estimators; estimation of mean, proportion, variance
• Interval estimate (confidence interval) for mean, proportion (large samples), variance
• Hypothesis tests: observed power and significance level, one-tailed and two-tailed tests for the mean, for the proportion (large samples) and for the variance; comparison between two means

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

The course includes 84 hours of lessons, including lectures and exercise sessions. All lectures and exercise sessions are essential for an adequate understanding of the topics covered, as well as individual study. During the course, for each specific topic, the parts of the textbook to be studied are indicated. In addition to the scheduled course hours, several hours of tutoring are also provided as further training support.
All lectures and exercise sessions are held in person. It is advisable to attend the lessons and exercise sessions, taking notes regularly. All the teaching material related to the course (lecture notes, exercises, past exam assignments etc.) is published on the University's E-learning platform (Moodle).

Learning assessment procedures

The final exam is written and consists of three exercises with open questions, both theoretical and practical, on the topics covered in the course. It is allowed to consult a formulary written on a double-sided A4 sheet and the statistical tables, as well as the use of a scientific calculator.
An midterm test is scheduled in November, on about half of the course program. The result, if passed, can replace the score of the sam part of the program in the first exam of the winter session. In each partial test the formulary must be prepared on only one A4 side.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

Rather than assessing the correctness of the individual numerical results, in the correction of the test primary importance is given to their statistical interpretation within the problem and to the solution of the proposed exercises. Justifying every answer and commenting on the adopted procedures is therefore strongly recommended.

Criteria for the composition of the final grade

The final mark coincides with the score in the final exam, or with the sum of the two partial scores (if both are above a minimum threshold).

Exam language

Italiano

Sustainable Development Goals - SDGs

This initiative contributes to the achievement of the Sustainable Development Goals of the UN Agenda 2030. More information on sustainability

Type D and Type F activities

Nei piani didattici di ciascun Corso di studio è previsto l’obbligo di conseguire un certo numero di crediti formativi mediante attività a scelta (chiamate anche "di tipologia D e F").

Oltre che in insegnamenti previsti nei piani didattici di altri corsi di studio e in certificazioni linguistiche o informatiche secondo quanto specificato nei regolamenti di ciascun corso, tali attività possono consistere anche in iniziative extracurriculari di contenuto vario, quali ad esempio la partecipazione a un seminario o a un ciclo di seminari, la frequenza di laboratori didattici, lo svolgimento di project work, stage aggiuntivo, eccetera.

Come per ogni altra attività a scelta, è necessario che anche queste non costituiscano un duplicato di conoscenze e competenze già acquisite dallo studente.

Quelle elencate in questa pagina sono le iniziative extracurriculari che sono state approvate dalla Commissione didattica e quindi consentono a chi vi partecipa l'acquisizione dei CFU specificati, alle condizioni riportate nelle pagine di dettaglio di ciascuna iniziativa.

Si ricorda in proposito che:
- tutte queste iniziative richiedono, per l'acquisizione dei relativi CFU, il superamento di una prova di verifica delle competenze acquisite, secondo le indicazioni contenute nella sezione "Modalità d'esame" della singola attività;
- lo studente è tenuto a inserire nel proprio piano degli studi l'attività prescelta e a iscriversi all'appello appositamente creato per la verbalizzazione, la cui data viene stabilita dal docente di riferimento e pubblicata nella sezione "Modalità d'esame" della singola attività.
 

COMPETENZE TRASVERSALI

 

Scopri i percorsi formativi promossi dal  Teaching and learning centre dell'Ateneo, destinati agli studenti iscritti ai corsi di laurea, volti alla promozione delle competenze trasversali: https://talc.univr.it/it/competenze-trasversali

 

CONTAMINATION LAB

Il Contamination Lab Verona (CLab Verona) è un percorso esperienziale con moduli dedicati all'innovazione e alla cultura d'impresa che offre la possibilità di lavorare in team con studenti e studentesse di tutti i corsi di studio per risolvere sfide lanciate da aziende ed enti. Il percorso permette di ricevere 6 CFU in ambito D o F. Scopri le sfide: https://www.univr.it/clabverona

 

ATTENZIONE: Per essere ammessi a sostenere una qualsiasi attività didattica, incluse quelle a scelta, è necessario essere iscritti all'anno di corso in cui essa viene offerta. Si raccomanda, pertanto, ai laureandi delle sessioni di dicembre e aprile di NON svolgere attività extracurriculari del nuovo anno accademico, cui loro non risultano iscritti, essendo tali sessioni di laurea con validità riferita all'anno accademico precedente. Quindi, per attività svolte in un anno accademico cui non si è iscritti, non si potrà dar luogo a riconoscimento di CFU.

Primo semestre (lauree) From 9/25/23 To 1/19/24
years Modules TAF Teacher
1° 2° 3° Thematic cycle of conferences on Women's "leadership": data, reflections and experiences D Martina Menon (Coordinator)
1° 2° 3° Educational laboratory on credit securitization D Michele De Mari (Coordinator)
Periodo generico From 10/1/23 To 5/31/24
years Modules TAF Teacher
Programming in Matlab D Marco Minozzo (Coordinator)
1° 2° 3° Data Analysis Laboratory with R (Vicenza) D Marco Minozzo (Coordinator)
1° 2° 3° Data Visualization Laboratory D Marco Minozzo (Coordinator)
1° 2° 3° Python Laboratory D Marco Minozzo (Coordinator)
1° 2° 3° Data Science Laboratory with SAP D Marco Minozzo (Coordinator)
1° 2° 3° Advanced Excel Laboratory (Vicenza) D Marco Minozzo (Coordinator)
1° 2° 3° Excel Laboratory (Vicenza) D Marco Minozzo (Coordinator)
1° 2° 3° Plan your future D Paolo Roffia (Coordinator)
1° 2° 3° Plan your future D Paolo Roffia (Coordinator)
1° 2° 3° Programming in SAS D Marco Minozzo (Coordinator)
Secondo semestre (lauree magistrali) From 2/26/24 To 5/24/24
years Modules TAF Teacher
1° 2° Digital experiments in economics - 2023/2024 D Claudio Zoli (Coordinator)
1° 2° Topics in economics and ethics of artificial intelligence- 2023/2024 D Claudio Zoli (Coordinator)
1° 2° 3° The accountant as a business consultant D Riccardo Stacchezzini (Coordinator)
1° 2° 3° Key markets / business approach & business negotiations - 2023/2024 D Angelo Zago (Coordinator)
Secondo semestre (lauree) From 2/26/24 To 5/31/24
years Modules TAF Teacher
1° 2° 3° Soft skills coaching days (Vicenza) - 2023/2024 D Paola Signori (Coordinator)

Career prospects


Module/Programme news

News for students

There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.

Graduation


Student mentoring


Gestione carriere


Linguistic training CLA


Student login and resources


Modalità di frequenza, erogazione della didattica e sedi

Le lezioni di tutti gli insegnamenti del corso di studio, così come le relative prove d’esame, si svolgono in presenza.

Peraltro, come ulteriore servizio agli studenti, è altresì previsto che tali lezioni siano videoregistrate e che le videoregistrazioni vengano messe a disposizione sui relativi spazi e-learning degli insegnamenti, salvo diversa comunicazione del singolo docente.

La frequenza non è obbligatoria.

Maggiori dettagli in merito all'obbligo di frequenza vengono riportati nel Regolamento del corso di studio disponibile alla voce Regolamenti nel menu Il Corso. Anche se il regolamento non prevede un obbligo specifico, verifica le indicazioni previste dal singolo docente per ciascun insegnamento o per eventuali laboratori e/o tirocinio.

È consentita l'iscrizione a tempo parziale. Per saperne di più consulta la pagina Possibilità di iscrizione Part time.

La sede di svolgimento delle lezioni e degli esami è l'University Hub.